Weekday, Inc. Logo

Weekday, Inc.

M&A Attorney

Posted 12 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
90K-130K Hourly
Junior
Remote
Hiring Remotely in United States
90K-130K Hourly
Junior
Part-time contractor M&A attorney to draft, review, negotiate, and redline transaction documents; evaluate AI-generated legal outputs; develop evaluation frameworks and scoring rubrics; provide subject-matter expertise to improve AI training data and legal analysis; collaborate with product, research, and engineering teams to refine legal guidelines and best practices.
The summary above was generated by AI

This role is for one of our clients

$90 - $130/hourpay

Role Title: M&A Attorney

Role Type: Contractor

Location: Remote

We are seeking experienced M&A Attorneys for a part-time opportunity at the intersection of legal expertise and artificial intelligence. This role is designed for accomplished corporate lawyers with significant experience in mergers and acquisitions who are interested in helping shape the next generation of AI-powered legal solutions.

Leveraging your expertise in drafting, reviewing, negotiating, and redlining complex transaction documents, you will evaluate AI-generated legal work, contribute to the development of high-quality training data, and help improve how AI systems interpret contract language, identify transactional risks, and support legal decision-making.


RequirementsKey Responsibilities
  • Perform simulated M&A contract negotiations and redlining exercises across a variety of transaction documents.
  • Review and evaluate AI-generated responses to M&A-related legal scenarios, providing detailed feedback to improve model accuracy and legal reasoning.
  • Develop structured evaluation frameworks, scoring rubrics, and quality standards for assessing AI performance on transactional legal tasks.
  • Collaborate with multidisciplinary product, research, and engineering teams to refine AI training datasets, legal guidelines, and best practices.
  • Apply practical legal judgment to identify contractual risks, negotiation strategies, and drafting improvements within complex M&A agreements.
  • Contribute subject matter expertise to enhance AI systems designed for transactional law, contract review, and legal analysis.
Required Qualifications
  • Juris Doctor (J.D.) from an ABA-accredited law school.
  • Active bar membership in at least one U.S. jurisdiction.
  • Minimum 2 years of experience in the Mergers & Acquisitions (M&A) practice group of a corporate law firm.
  • Strong familiarity with standard M&A transaction documents, including Asset Purchase Agreements (APAs) and Stock Purchase Agreements (SPAs).
  • Excellent written and verbal communication skills with exceptional attention to detail.
  • Strong analytical and critical thinking abilities with the capability to translate legal expertise into structured, actionable feedback.
  • Demonstrated interest in legal innovation and emerging technologies.
  • Experience collaborating with cross-functional teams in fast-paced, dynamic environments.
Preferred Qualifications
  • Previous experience working with AI, legal technology platforms, or AI training and evaluation projects.
  • Experience advising private equity firms or participating in private equity transactions.
  • Familiarity with legal operations, contract lifecycle management (CLM) platforms, or enterprise legal technology solutions.

Similar Jobs

7 Hours Ago
Remote or Hybrid
Expert/Leader
Expert/Leader
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Develop and maintain statistical and ML forecasting models for SKU-level demand using Python/PySpark and Databricks; analyze model performance (MAPE/bias), post-process outputs, collaborate with demand planners for explainability, produce dashboards and KPIs, and drive continuous improvement in forecasting and data models.
Top Skills: DatabricksGoogle AdwordsGoogle AnalyticsGoogle Cloud PlatformGoogle Tag ManagerJuliaExcelPower BIPysparkPythonRSASSQLTableau
7 Hours Ago
Easy Apply
Remote
Easy Apply
7M-7M Annually
Senior level
7M-7M Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Lead the Help Center product roadmap to increase automation rate and CSAT by building AI-powered search, personalized article experiences, and self-service workflows. Partner with ML, engineering, CX ops, content, and data science to maintain global knowledge, define funnel metrics, and integrate chat/agent tooling and third-party vendors to deflect contacts and proactively resolve issues.
Top Skills: Ai/MlCmsContentfulFreshdeskGenerative AiLlmRagSalesforceZendesk
7 Hours Ago
In-Office or Remote
Senior level
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Manage a portfolio of mid-market customers in India: develop and execute account/territory plans, identify and qualify opportunities, expand usage and cross-sell, run demos, build strong client relationships, coordinate internal teams and channel partners, report progress, provide product feedback, and travel occasionally for client and team events.
Top Skills: ConfluenceCRMJira Service ManagementJira Software

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account